Will It Run AI

Can Hermes 4.3 36B run on NVIDIA A16 64GB?

YES — Runs Great

C48Usable
Estimated from fit model

Hermes 4.3 36B needs ~33.8 GB VRAM. NVIDIA A16 64GB has 64.0 GB. With Q4_K_M quantization, expect ~21 tok/s.

Runtime: OllamaCapacity: RoomyBandwidth: MediumStack: BasicBottleneck: Balanced
Share:

Operating mode

Choose the run profile you care about

Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.

Current mode

Balanced

Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.

Capabilities:

Select quantization to explore

Q4_K_M (Medium quality) — 33.8 GB, 21.3 tok/s, Runs well
33.8 GB required64.0 GB available
53% VRAM used

Fit status

Runs well

Decode

21.3 tok/s

TTFT

9084 ms

Safe context

131K

Memory

33.8 GB / 64.0 GB

Memory breakdown

Weights22.0 GB
KV Cache4.2 GB
Runtime1.2 GB
Headroom6.4 GB

See how fast it feels

See how fast it feelsHermes 4.3 36B on NVIDIA A16 64GB
1st promptCold start — includes initialization
>Solve: If a train travels at 60 mph for 2.5 hours, how far does it go?
Let me work through this step by step. Given information: - Speed = 60 mph (miles per hour) - Time = 2.5 hours Formula: Distance = Speed x Time Calculation: Distance = 60 mph x 2.5 h = 150 miles The train travels 150 miles. Double-check: at 60 mph the train covers 60 miles each hour. In half an hour it covers 30 miles. So in 2.5 hours: 60 + 60 + 30 = 150 miles. Confirmed.
2nd promptWarm — model ready, no init overhead
>What if the train stops for 20 minutes halfway?
The stop doesn't change the total distance covered while moving, but it affects total trip time. Breakdown: - First half: 1.25 hours at 60 mph = 75 miles - Stop: 20 minutes (no distance) - Second half: 1.25 hours at 60 mph = 75 miles Total distance: 150 miles (same) Total time: 2.5 h + 0.33 h = 2.83 hours Average speed: 150 / 2.83 = 53 mph The distance stays the same but average speed drops to 53 mph because of the stop.
Estimated: 21.3 tok/s decode · 9.1s TTFT (warm) · 53 tok/s prefill

What limits this setup

This setup is broadly balanced for this model.

No major red flags

This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.

Best improvement path

Performance by workload

WorkloadGradeFitDecodeTTFTContext
ChatCRuns well21.3 tok/s4955 ms131K
CodingCRuns well21.3 tok/s9084 ms131K
Agentic CodingCRuns well21.3 tok/s13214 ms131K
ReasoningCRuns well21.3 tok/s10736 ms131K
RAGCRuns well21.3 tok/s16517 ms131K

Quantization options

How Hermes 4.3 36B (36B params) fits at each quantization level on NVIDIA A16 64GB (64.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
14.0 GB
LowC42
Q3_K_S
3
17.6 GB
LowC43
NVFP4
4
20.2 GB
MediumC43
Q4_K_M
4
22.0 GB
MediumC44
Q5_K_M
5
25.9 GB
HighC45
Q6_K
6
29.5 GB
HighC46
Q8_0Best for your GPU
8
38.5 GB
Very HighC48
F16
16
73.8 GB
MaximumF0

Get started

Copy-paste commands to run Hermes 4.3 36B on your machine.

Run

lms load hf-nousresearch--hermes-4-3-36b-gguf && lms server start

升级选项

能流畅运行 Hermes 4.3 36B 的硬件

NVIDIARTX PRO 6000 Blackwell Workstation Edition 96GB经济之选
96 GB VRAM (+32)1792 GB/s (+1192)
C
Raises estimated decode speed by about 222%.68.5 tok/s 解码

Raises estimated decode speed by about 222%.

Adds memory headroom for longer context windows and future model growth.

~$9,999 MSRP

NVIDIARTX PRO 6000 Blackwell Server Edition 96GB最佳性价比
96 GB VRAM (+32)1597 GB/s (+997)
C
Raises estimated decode speed by about 187%.61.1 tok/s 解码

Raises estimated decode speed by about 187%.

Adds memory headroom for longer context windows and future model growth.

~$9,999 MSRP

NVIDIANVIDIA H20 96GBNVIDIA 升级
96 GB VRAM (+32)4000 GB/s (+3400)
C
Raises estimated decode speed by about 592%.147.5 tok/s 解码

Raises estimated decode speed by about 592%.

Adds memory headroom for longer context windows and future model growth.

~$12,000 MSRP

Frequently asked questions

Can NVIDIA A16 64GB run Hermes 4.3 36B?

Yes, NVIDIA A16 64GB can run Hermes 4.3 36B with a C grade (Runs well). Expected decode speed: 21.3 tok/s.

How much VRAM does Hermes 4.3 36B need?

Hermes 4.3 36B (36B parameters) requires approximately 33.8 GB of memory with Q4_K_M quantization.

What is the best quantization for Hermes 4.3 36B?

The recommended quantization for Hermes 4.3 36B is Q4_K_M, which balances quality and memory efficiency.

What speed will Hermes 4.3 36B run at on NVIDIA A16 64GB?

On NVIDIA A16 64GB, Hermes 4.3 36B achieves approximately 21.3 tokens per second decode speed with a time-to-first-token of 9084ms using Q4_K_M quantization.

Can NVIDIA A16 64GB run Hermes 4.3 36B for coding?

For coding workloads, Hermes 4.3 36B on NVIDIA A16 64GB receives a C grade with 21.3 tok/s and 131K context.

What context window can Hermes 4.3 36B use on NVIDIA A16 64GB?

On NVIDIA A16 64GB, Hermes 4.3 36B can safely use up to 131K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.

See all results for NVIDIA A16 64GBSee all hardware for Hermes 4.3 36B
Embed this result▼

Paste this snippet into any page to show a live fit card.

<iframe src="https://willitrunai.com/embed/hf-nousresearch--hermes-4-3-36b-gguf-on-a16-64gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>

Preview: